Most AI tools want your API keys the moment you sign up. Then they sit between you and the model, add their own layer, and you're locked in.
I built RAPR AI specifically to avoid that. No keys inside the tool. It wraps the CLIs you've already installed — Claude Code, Gemini, Ollama — and lets you wire them together from a browser UI.
The Agent Builder is the core of it. Visual node canvas, eight node types (AI, Shell, HTTP, File, Condition, Loop, Input, Deliver), triggered via Telegram, schedule, webhook, or a button. I recorded a full demo showing how it works in practice.
Keeping the research plan and cited results side by side is a useful way to make the agent’s work easier to inspect. I’d lean toward light mode for reading the table in daylight. How do you distinguish a verified source from one that still needs review?
Dropped our next premium framer template for AI automation agencies, workflow consultancies & the people selling agents to businesses that still run on copy and paste.
Check it out
Halloween is the one night a year dark patterns are on theme.
Built two cancel screens for a concept photo app in code with Claude Code. Same plan, same customer about to leave. Which one keeps more of them, A or B?